638 search results - page 17 / 128 » A Training Method with Small Computation for Classification |
AICCSA
2007
IEEE
13 years 12 months ago
2007
IEEE
In this paper the Karnaugh and Quine-McCluskey methods are used for symbolic classification problem, and then these methods are compared with other famous available methods. Becau...
DASFAA
2004
IEEE
13 years 11 months ago
2004
IEEE
Text classification using a small labeled set and a large unlabeled data is seen as a promising technique to reduce the labor-intensive and time consuming effort of labeling traini...
CICLING
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. We propose to use semi-supervised learning methods to classify evaluative expressions, that is, tuples of subjects, their attributes, and evaluative words, that indicate ...
ICPR
2006
IEEE
14 years 9 months ago
2006
IEEE
In some classification problems, like the detection of illnesses in patients, classes are very unbalanced and the misclassification costs for different classes vary significantly....
ICPR
2002
IEEE
14 years 9 months ago
2002
IEEE
A key problem faced by classifiers is coping with styles not represented in the training set. We present an application of hierarchical Bayesian methods to the problem of recogniz...